9 citations
- École Normale Supérieure de LyonFR2 papers
- Lyon 1 UniversitéFR2 papers
- Technische Universität BerlinDE2 papers
- AGH University of KrakowPL1 paper
- Aligarh Muslim UniversityIN1 paper
- Banaras Hindu UniversityIN1 paper
- Beijing Haidian HospitalCN1 paper
- Berlin Institute for the Foundations of Learning and DataDE1 paper
- Bose InstituteIN1 paper
- Central China Normal UniversityCN1 paper
- Centre Inria de l'Université Grenoble AlpesFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
7 papers
Riemannian Denoising Diffusion Probabilistic Models
Zichen Liu, Wei Zhang, Christof Schütte +1
We propose Riemannian Denoising Diffusion Probabilistic Models (RDDPMs) for learning distributions on submanifolds of Euclidean space that are level sets of functions, including mo…
A Hybrid ABM-PDE Framework for Real-World Infectious Disease Simulations
Kristina Kehrer, Tim O. F. Conrad
This paper presents a hybrid modeling approach that couples an Agent-Based Model (ABM) with a partial differential equation (PDE) model in an epidemic setting to simulate the spati…
Optimisation models for the design of multiple self-consumption loops in semi-rural areas
Yohann Chasseray, Mathieu Besançon, Xavier Lorca +1
Collective electricity self-consumption gains increasing interest in a context where localised consumption of energy is a lever of sustainable development. While easing energy dist…
Most incompatible measurements and sum-of-squares optimisation
Sébastien Designolle
Measurement incompatibility, or joint measurability, is a cornerstone of quantum theory and a useful resource. For finite-dimensional systems, quantifying this resource and establi…
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs
Martin Hanik, Gabriele Steidl, Christoph von Tycowicz
We propose two graph neural network layers for graphs with features in a Riemannian manifold. First, based on a manifold-valued graph diffusion equation, we construct a diffusion l…
Measurement incompatibility and quantum steering via linear programming
Lucas E. A. Porto, Sébastien Designolle, Sebastian Pokutta +1
The problem of deciding whether a set of quantum measurements is jointly measurable is known to be equivalent to determining whether a quantum assemblage is unsteerable. This probl…